🚨BREAKING: SOLANA PROCESSED MORE TRANSACTIONS THAN ALL OTHER CHAINS COMBINED!🚨
Solana handled 113.8M transactions in 24 hours.
The next 9 biggest chains did 89.6M together, and Sui came second at 25.37M.
ESTO ES JODIDAMENTE INCREÍBLE
un dev en solitario acaba de abrir el código de un reemplazo 100% GRATIS de ElevenLabs que se ejecuta completamente en tu propia máquina.
el repo de GitHub está en 19.4K estrellas.
te permite:
→ clonar una voz desde un clip de referencia limpio
→ doblar cualquier video a 646 idiomas
→ generar audiolibros, dictado, transcripción
→ elegir entre 14 motores TTS en lugar de uno
ElevenLabs soporta 32 idiomas. esto hace 646.
sin cobro por carácter. sin límites de uso. ningún audio sale nunca de tu computadora.
guarda esto para después.
os dejo el repo abajo
Jev builds the MOST POWERFUL trading agents
and someone JUST open sourced jev-trader, a fully working 24/7 trading bot with Jev
along with COMPLETE low latency CODEBASE
WHAT THIS MEANS FOR YOU - you no longer have to build a trading bot with Jev from scratch, you just clone this and make it yours
here is how you make your own Jev trading bot with this repo:
1. clone it and run three commands, it boots straight into dry run mode with real book data, real decisions, and simulated fills so you can watch it think with zero capital
2. drop in your Jev API key and the model starts answering buy or sell on every block with calibrated probabilities in 81 milliseconds
3. swap the book reader for your own venue, the model interface is clean so any order book that returns bids and asks plugs straight in
4. tune the decision cadence and horizon, ask the model every N blocks about the move over the next M, so you control how aggressive the engine trades
5. the hot loop already fits one block with exactly two round trips, one to read the book, one to send the order, nothing else on the path, this is the institutional latency discipline most retail bots never reach
6. plug in the live server and every block, every decision, every fill streams to a public dashboard so you watch your engine run
the whole point is this repo hands you HARDEST part for FREE -
> the low latency engine
the COMPLETE breakdown of how i turned this into hedge fund grade HFT trading system is in my article below:
🇺🇸 TRUMP DOESN’T WANT AI TO SLOW DOWN.
@kyledoops says the AI arms race is only getting hotter as Trump pushes back on safety driven calls to pump the brakes.
“The arms race in AI does continue.”
Here's an early game trailer of Cook the Dungeon (🔊Sound on), a first-person roguelike deckbuilder where you defeat monsters, harvest their parts, and cook meals for the battles ahead.
If the game interests you, please wishlist the game on Steam! It helps the game to get discovered.
BREAKING: AUTO is live on Solana, backed by U.S. auto loans.
Consumer lending is the largest credit market in the U.S., and AUTO brings near-prime auto yield onchain for the first time.
Andrew Ng just dropped a 3-hour course on how to become an AI Engineer in 2026:
• 00:00 - How to build agentic AI systems
• 04:25 - Future of AI engineering
• 23:38 - AI Prompting full course
• 2:52:17 - Creating an app with AI in 30 minutes
This 3-hour watch could replace 10 AI engineering courses on the internet.
Watch it today, then read how to run a self-improving system in the article below.
My friend applied to 250 tech jobs in two years. No MIT. No Stanford. No PhD.
Last month Anthropic offered him $750,000.
I asked him how he broke in from zero.
He sent me the exact video that got him in. Andrej Karpathy's 4-hour course on "How to build a full LLM from scratch."
Anthropic's own researcher gives up the exact playbook behind building LLMs like ChatGPT & Claude.
I watched it last night.
Halfway through, I realized I could break into an AI lab in months, not years.
Bookmark this and read the article below.
• 00:00 - LLMs as new OS
• 40:58 - LLM tokenization architecture
• 53:22 - LLM neural network internals
• 1:04:20 - LLM pretraining
• 3:21:37 - LLM RLHF & DeepSeek R1
FABLE 5 has been extended again until July 19… and I just found one of the wildest AI trading wallets I’ve ever seen. 🤯
This trader used Claude Fable 5 to improve a Quant bot that reportedly generated +$288,872 on prediction markets.
Since April 30, the bot has averaged roughly $6,878 in daily profit, executing around 30 trades per hour in short-term Bitcoin Up/Down markets.
📊 42 Days Performance
• 30,670 predictions
• 56% win rate
• Thousands of automated trades
The strategy isn’t complicated:
→ Wait for short-term market prices to deviate from fair value
→ Enter before prices fully readjust
→ Repeat the same high-probability setup over and over
→ The edge isn’t one massive trade—it’s consistent execution at scale
Some standout trades:
💰 $2,851 → $7,332 (+157%)
💰 $881 → $4,756 (+439%)
💰 $3,455 → $6,319 (+83%)
With Claude Fable 5, some estimates suggest systems like this could scale even further:
🚀 ~$6,878/day → ~$15,927/day
🚀 Potentially $1M+ per month under ideal conditions
Whether those projections hold up in real markets is another question—but it’s a fascinating example of how AI is changing algorithmic trading.
✅ Prompt pack
✅ Quant bot setup
✅ Automation guide
✅ Best AI tools I use
To enter:
1️⃣ Like ❤️ this post
2️⃣ Repost 🔁
3️⃣ Comment “FABLE” below
I’ll randomly pick winners after the giveaway ends.
#AI #Claude #Anthropic #Bitcoin #Trading #Polymarket #Crypto
ChatGPT + Claude + internet connection + 60 minutes a day = $8,400 per month.
Usually, I charge $97 for this guide, but today you get it 100% for free.
Like + comment 'Send' and I'll send you my step-by-step guide for FREE.
Must follow me to get guide in DM.
FREE for 48 hours.